Authorized Authorship of AI

Abstract This proposed research will focus on the role of the authorship of creative works through using Artificial Intelligence (AI) systems. From a scholarly lens perspective, the are standards and expectations to be used scholarly work at all levels in our field. As we bridge the innovative advancement of AI generated forms of data, information, and product deliverables, there is a gap in the traceability, ownership, and linkage to sourced sound body-of-knowledge. Stemming from this problem, how do we substantiate AI generated data in our works? In addition, is there a significance of identifying scholarly ownership when using generated data from Artificial Intelligence?

This meta-analysis will survey scholarly literature and the practices of the current Modern Era landscape. Further investigation will also examine legal cases and rulings to develop the degree of acceptance for which the populous has adopted the use of AI output.

Specific to this proposed research, leaning through the convergence of “quasi-open” data sources, the use of tertiary works and creative authorship is believed the basis of many newly founded works in many areas. In addition, the adoption of responsive AI use is at precipice of proliferation for many technology consumers, where AI systems are providing unsourced responses in authorized messaging. A simple example is the use of common web search services for which an AI generative answer is provided, not without the linkage the data sources. Expected as this technology hardens, the reliability of the AI authoritative answer will be with minimal error tolerance. Thereby, Artificial Intelligence will provide a reasonably correct answer to further implementation.

In conclusion, the notion of AI generative use of data in human works will plausibly be further substantiated over time, where the perception of use of data will be acceptable, given the construct that the laws and practices will continue to adopt and accept the innovation. As common observation, privacy laws for consumers were not strongly developed during the Internet growth, thereby allowing the technology to advance to great innovation bringing humans to this point in an interconnected landscape. Hypothetically, one may suggest hindering the traditional boundaries of the body-of-knowledge, which might progress the leap in the advancement of AI technology. As this proposed research comes to fruition, to what degree is the balance of innovation and traditional works to be kept in reaching the technology future?